Evidence map›Paper›PMID 34313236›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2021

Diagnostic performance rates of the ACR-TIRADS and EU-TIRADS based on histopathological evidence.

İlhan Hekimsoy, Egemen Öztürk, Yeşim Ertan, Mehmet Nurullah Orman, Gülgün Kavukçu, Ahmet Gökhan Özgen, Murat Özdemir, Süha Süreyya Özbek

Abstract read
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

İlhan HekimsoyDepartment of Radiology, Ege University Faculty of Medicine, İzmir, Turkey.
Egemen ÖztürkDepartment of Radiology, Ege University Faculty of Medicine, İzmir, Turkey.
Yeşim ErtanDepartment of Pathology, Ege University Faculty of Medicine, İzmir, Turkey.
Mehmet Nurullah OrmanDepartment of Biostatistics and Medical Informatics, Ege University Faculty of Medicine, İzmir, Turkey.
Gülgün KavukçuDepartment of Radiology, Ege University Faculty of Medicine, İzmir, Turkey.
Ahmet Gökhan ÖzgenDepartment of Internal Medicine, Ege University Faculty of Medicine, İzmir, Turkey.
Murat ÖzdemirDepartment of General Surgery, Ege University Faculty of Medicine, İzmir, Turkey.
Süha Süreyya ÖzbekDepartment of Radiology, Ege University Faculty of Medicine, İzmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this study, we aimed to assess the effectiveness of malignancy stratification algorithms of the American College of Radiology (ACR) and European Thyroid Association (ETA) in the delineation of thyroid nodules using a database of nodules that were unequivocally diagnosed by means of histopathological examination and meticulously matched with the imaged nodules.

methodsA total of 165 patients having 251 thyroid nodules with histopathologically proven definitive diagnoses during a 5-year period were included in this study. All patients had preoperatively undergone ultrasonography (US) examination, and US characteristics of the thyroid nodules were retrospectively analyzed and assigned in compliance with the thyroid imaging reporting and data system categories recommended by the ACR (ACR-TIRADS) and ETA (EU-TIRADS). The diagnostic effectiveness in the delineation of thyroid nodules and unnecessary fine-needle aspiration (FNAB) rates were evaluated.

resultsOverall, 189 nodules (75.30%) were diagnosed as benign, while 62 nodules (24.70%) were reported to be malignant based on histopathological assessment. Sensitivity and specificity rates were 71% and 75% for ACR-TIRADS and 73% and 80% for EU-TIRADS. The area under the curve values were 0.78 and 0.80 for ACR-TIRADS and EU-TIRADS, respectively. The unnecessary FNAB rates were 61% for ACR-TIRADS and 64% for EU-TIRADS as per the recommended criteria of each algorithm.

conclusionThe diagnostic performance of both malignancy stratification systems was signified to be moderate and sufficient in a cohort of nodules with definite histopathological diagnosis. In light of our results, we demonstrated the strengths and weaknesses of the ACR- and EU-TIRADS for physicians who should be familiar with them for optimal management of thyroid nodules.

Indexed as

Thyroid NeoplasmsThyroid NoduleBiopsy, Fine-NeedleHumansRetrospective StudiesUltrasonography

Identifiers

PMID34313236
PMCPMC8289418

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.